Sadik Armagan | 8f397a1 | 2022-06-17 15:38:22 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | #include <armnn/ArmNN.hpp> |
| 8 | |
| 9 | #include <CpuExecutor.h> |
| 10 | #include <nnapi/OperandTypes.h> |
| 11 | #include <nnapi/Result.h> |
| 12 | #include <nnapi/Types.h> |
| 13 | |
| 14 | #include <vector> |
| 15 | #include <string> |
| 16 | #include <fstream> |
| 17 | #include <iomanip> |
| 18 | |
| 19 | namespace armnn_driver |
| 20 | { |
| 21 | |
| 22 | using namespace android::nn; |
| 23 | |
| 24 | extern const armnn::PermutationVector g_DontPermute; |
| 25 | |
| 26 | template <typename OperandType> |
| 27 | class UnsupportedOperand: public std::runtime_error |
| 28 | { |
| 29 | public: |
| 30 | UnsupportedOperand(const OperandType type) |
| 31 | : std::runtime_error("Operand type is unsupported") |
| 32 | , m_type(type) |
| 33 | {} |
| 34 | |
| 35 | OperandType m_type; |
| 36 | }; |
| 37 | |
| 38 | /// Swizzles tensor data in @a input according to the dimension mappings. |
| 39 | void SwizzleAndroidNn4dTensorToArmNn(armnn::TensorInfo& tensor, |
| 40 | const void* input, |
| 41 | void* output, |
| 42 | const armnn::PermutationVector& mappings); |
| 43 | |
| 44 | /// Returns a pointer to a specific location in a pool` |
| 45 | void* GetMemoryFromPool(DataLocation location, |
| 46 | const std::vector<android::nn::RunTimePoolInfo>& memPools); |
| 47 | |
| 48 | void* GetMemoryFromPointer(const Request::Argument& requestArg); |
| 49 | |
| 50 | armnn::TensorInfo GetTensorInfoForOperand(const Operand& operand); |
| 51 | |
| 52 | std::string GetOperandSummary(const Operand& operand); |
| 53 | |
| 54 | bool isQuantizedOperand(const OperandType& operandType); |
| 55 | |
| 56 | std::string GetModelSummary(const Model& model); |
| 57 | |
Sadik Armagan | 9d9dd22 | 2022-07-15 10:22:49 +0100 | [diff] [blame] | 58 | template <typename TensorType> |
Sadik Armagan | 8f397a1 | 2022-06-17 15:38:22 +0100 | [diff] [blame] | 59 | void DumpTensor(const std::string& dumpDir, |
| 60 | const std::string& requestName, |
| 61 | const std::string& tensorName, |
Sadik Armagan | 9d9dd22 | 2022-07-15 10:22:49 +0100 | [diff] [blame] | 62 | const TensorType& tensor); |
Sadik Armagan | 8f397a1 | 2022-06-17 15:38:22 +0100 | [diff] [blame] | 63 | |
| 64 | void DumpJsonProfilingIfRequired(bool gpuProfilingEnabled, |
| 65 | const std::string& dumpDir, |
| 66 | armnn::NetworkId networkId, |
| 67 | const armnn::IProfiler* profiler); |
| 68 | |
| 69 | std::string ExportNetworkGraphToDotFile(const armnn::IOptimizedNetwork& optimizedNetwork, |
| 70 | const std::string& dumpDir); |
| 71 | |
| 72 | std::string SerializeNetwork(const armnn::INetwork& network, |
| 73 | const std::string& dumpDir, |
| 74 | std::vector<uint8_t>& dataCacheData, |
| 75 | bool dataCachingActive = true); |
| 76 | |
| 77 | void RenameExportedFiles(const std::string& existingSerializedFileName, |
| 78 | const std::string& existingDotFileName, |
| 79 | const std::string& dumpDir, |
| 80 | const armnn::NetworkId networkId); |
| 81 | |
| 82 | void RenameFile(const std::string& existingName, |
| 83 | const std::string& extension, |
| 84 | const std::string& dumpDir, |
| 85 | const armnn::NetworkId networkId); |
| 86 | |
| 87 | /// Checks if a tensor info represents a dynamic tensor |
| 88 | bool IsDynamicTensor(const armnn::TensorInfo& outputInfo); |
| 89 | |
| 90 | /// Checks for ArmNN support of dynamic tensors. |
| 91 | bool AreDynamicTensorsSupported(void); |
| 92 | |
| 93 | std::string GetFileTimestamp(); |
| 94 | |
| 95 | inline OutputShape ComputeShape(const armnn::TensorInfo& info) |
| 96 | { |
| 97 | OutputShape shape; |
| 98 | |
| 99 | armnn::TensorShape tensorShape = info.GetShape(); |
| 100 | // Android will expect scalars as a zero dimensional tensor |
| 101 | if(tensorShape.GetDimensionality() == armnn::Dimensionality::Scalar) |
| 102 | { |
| 103 | shape.dimensions = std::vector<uint32_t>{}; |
| 104 | } |
| 105 | else |
| 106 | { |
| 107 | std::vector<uint32_t> dimensions; |
| 108 | const unsigned int numDims = tensorShape.GetNumDimensions(); |
| 109 | dimensions.resize(numDims); |
| 110 | for (unsigned int outputIdx = 0u; outputIdx < numDims; ++outputIdx) |
| 111 | { |
| 112 | dimensions[outputIdx] = tensorShape[outputIdx]; |
| 113 | } |
| 114 | shape.dimensions = dimensions; |
| 115 | } |
| 116 | |
| 117 | shape.isSufficient = true; |
| 118 | |
| 119 | return shape; |
| 120 | } |
| 121 | |
| 122 | void CommitPools(std::vector<::android::nn::RunTimePoolInfo>& memPools); |
| 123 | |
| 124 | } // namespace armnn_driver |